https://github.com/atsushisakai/pyqp

Simple quadratic programming solver only using numpy.
https://github.com/atsushisakai/pyqp

Last synced: 4 months ago
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Simple quadratic programming solver only using numpy.

• Host: GitHub
• URL: https://github.com/atsushisakai/pyqp
• Owner: AtsushiSakai
• License: mit
• Created: 2016-12-28T19:39:13.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2017-01-13T06:49:51.000Z (almost 9 years ago)
• Last Synced: 2025-02-27T04:46:34.420Z (8 months ago)
• Language: Python
• Size: 22.5 KB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# pyqp

[![Build Status](https://travis-ci.org/AtsushiSakai/pyqp.svg?branch=master)](https://travis-ci.org/AtsushiSakai/pyqp)

[![MIT License](http://img.shields.io/badge/license-MIT-blue.svg?style=flat)](LICENSE)

Simple convex quadratic programming solver

## Description

This is a simple and light-weight convex quadratic programming (QP) solver.

It only uses numpy and it is distributed as a single python file module.

## Install

Download this repository and import pyqp.py

## Usage

### solve_qp_with_ep_const

![1](https://github.com/AtsushiSakai/pyqp/blob/master/images/1.png)

This function solves convex QP with only equallity constraints.

usage:

```python

P = np.matrix(np.diag([1.0, 0.0]))

q = np.matrix(np.array([3.0, 4.0]))

A = np.matrix([1.0, 1.0])

x = solve_qp_with_ep_const(P, q, A, b)

print(x)

```

### others

See the test code in pyqp.py.

## Requirement

- numpy

## Licence

[MIT](https://github.com/tcnksm/tool/blob/master/LICENCE)

## Author

[AtsushiSakai](https://github.com/AtsushiSakai)